Using Intelligent Agents in Online Betting Management Systems
In this paper we present the possibility of integration intelligent agents in online betting strategy, in order to increase profitability. We proposed this approach for a betting management system and examined its usefulness in the online betting market. We also compared the proposed model against other most commonly used prediction methods.
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*** https://www.researchandmarkets.com/research/ts8qd7/global_sports?w=5 (Accesed date: March 2018)
*** https://www.betfair.ro/exchange/ (Accesed date: November 2017)
*** https://www.betdaq.com (Accesed date: November 2017)
*** https://matchbook.com (Accesed date: November 2017)
*** https://smarkets.com (Accesed date: November 2017)
*** https://typesofbets.com (Accesed date: November 2017)
*** http://www.oddsportal.com (Accesed date: November 2017)
*** JADE, Java Agent Development Environment, website: http://jade.tilab.com
*** FIPA, Foundation for Intelligent Physical Agents, website: http://www.fipa.org
*** Java Programming Language, website: https://docs.oracle.com/javase/8/docs/technotes/guides/language/ index.html
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